A Hybrid algorithm applied to facility location for forest fire fighting considering budget constraints. Diaz-Romero, M., A., Alarcon-Aquino, V., & Diaz-Garcia, J., A. In 2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pages 262-267, 9, 2013. IEEE.
A Hybrid algorithm applied to facility location for forest fire fighting considering budget constraints [link]Website  doi  abstract   bibtex   
This paper develops an integrated system for forest fire fighting facility location. We propose a mathematical model to deploy available fire fighting resources in proper positions so that any forest fire can be attacked within a specified response time. The proposed model considers budget constraints. This location problem is a variant of the well-known Maximal Covering Location Problem (MCLP) which is known to be NP-hard. We propose a hybrid algorithm that combines GRASP and Tabu Search procedures. According to preliminary computational experiments the hybrid algorithm provides good quality solutions with a reasonable amount of computer effort. This solution can give support to the decision maker for determining the location of fire-fighting resources. © 2013 IEEE.
@inproceedings{
 title = {A Hybrid algorithm applied to facility location for forest fire fighting considering budget constraints},
 type = {inproceedings},
 year = {2013},
 pages = {262-267},
 websites = {http://ieeexplore.ieee.org/document/6676055/},
 month = {9},
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 abstract = {This paper develops an integrated system for forest fire fighting facility location. We propose a mathematical model to deploy available fire fighting resources in proper positions so that any forest fire can be attacked within a specified response time. The proposed model considers budget constraints. This location problem is a variant of the well-known Maximal Covering Location Problem (MCLP) which is known to be NP-hard. We propose a hybrid algorithm that combines GRASP and Tabu Search procedures. According to preliminary computational experiments the hybrid algorithm provides good quality solutions with a reasonable amount of computer effort. This solution can give support to the decision maker for determining the location of fire-fighting resources. © 2013 IEEE.},
 bibtype = {inproceedings},
 author = {Diaz-Romero, M. A. and Alarcon-Aquino, V. and Diaz-Garcia, J. A.},
 doi = {10.1109/ICEEE.2013.6676055},
 booktitle = {2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)}
}

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